PDF Index Generator: Create a Book Index in Minutes

Upload your PDF and get a structured back-of-book index with hierarchical terms, page references, and cross-references. Works with books, papers, manuals, and more.

Upload your PDF to get started

Drop a PDF here or click to select a file

Choose PDF

Supports PDF up to 55 MB · Text-searchable PDFs work best

Sample Output

What the tool actually produces for different document types

Academic paper (150 pages)

Bayesian inference, 23-28
	prior distributions, 24-26
	posterior estimation, 27-28
	see also Statistical methods
Cognitive load theory, 45-52
	intrinsic load, 47-48
	extraneous load, 49-50
	germane load, 51-52
Effect size
	Cohen's d, 67-69
	practical significance, 70-73
Meta-analysis, 89-96
	fixed-effects model, 91-93
	random-effects model, 94-96
	see also Systematic review
Research design
	randomized controlled trials, 34-38
	quasi-experimental, 39-42
Statistical methods, 60-85
	see also Bayesian inference
Systematic review, 87-100
	see also Meta-analysis

Business book (200 pages)

Change management, 112-125
	resistance to change, 115-118
	stakeholder alignment, 119-122
	see also Organizational culture
Customer acquisition
	cost analysis, 34-38
	channel optimization, 40-45
	conversion funnels, 46-52
Financial modeling
	DCF analysis, 67-72
	scenario planning, 73-78
Growth strategy, 80-95
	market expansion, 82-87
	product diversification, 88-92
	see also Market analysis
Market analysis, 56-65
	competitive landscape, 58-61
	see also Growth strategy
Organizational culture, 130-142
	see also Change management

Both examples show AI-generated drafts before editing. The interactive editor lets you rename, merge, add, or remove entries before export.

How the AI Works

1

Contextual understanding

The AI reads your full document and understands meaning, not just keywords. For example, it distinguishes "bank" as a financial institution vs. a river bank based on surrounding context.

2

Page reference extraction

Each term is linked to the specific pages where it appears, with continuous discussions grouped into page ranges (e.g., 45-52) rather than individual page numbers.

3

Cross-reference generation

The AI identifies related concepts and creates "see" and "see also" references to connect them — linking "machine learning" to "artificial intelligence" or "neural networks."

4

Editable output

Everything the AI generates is a starting point. You have full control to rename terms, adjust hierarchy, merge duplicates, and add entries the AI may have missed.

Works Across Document Types

Books

Business, self-help, history, biography — extracts concepts, people, and themes with sub-entries.

Academic papers

Research concepts, methodologies, statistical terms, author references, and theoretical frameworks.

Technical manuals

Procedures, equipment names, troubleshooting topics, and safety protocols with precise page references.

Cookbooks & reference books

Ingredients, techniques, recipe names, and categorical groupings with cross-references.

Try it on your document

Get started for free — you only pay once you're satisfied with the results.

Upload your PDF to get started

Drop a PDF here or click to select a file

Choose PDF

Supports PDF up to 55 MB · Text-searchable PDFs work best

Limitations & Expectations

Works best with text-searchable PDFs from Word, InDesign, or LaTeX

Non-fiction content with clear topical structure produces the best results

Handles books from 50-400 pages; shorter or longer documents may vary

Specialist terminology in niche fields may need manual additions

Fiction indexing (characters, themes) is experimental and less reliable

Scanned-image PDFs without OCR text produce poor or empty results

Generate your index now

Upload a PDF and see results in about 15 minutes. Get started for free — only pay once you're satisfied.

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